Statistical analyses were performed using IBM SPSS Statistics (Windows, Version 22.0. Armonk, NY: IBM Corp.) Descriptive analyses were performed including medians, interquartile ranges, standard deviations for continuous variables and frequency distributions for categorical variables. P values were calculated using the Chi -Square or Fisher exact tests to compare categorical variables and Mann-Whitney U test to compare continuous variables (p value ≤0.05). Variables with p values <0.20 in univariate analysis were put into multivariate analysis in order to identify independent risk factors. To determine adjust effect of risk factors on mortality logistic regression was used (p value ≤0.10 was considered significant). For analysis of factors that lengthen total stay time in hospital linear regression model was performed with a significant p value ≤0.05.
Spss statistics windows version 22
Manufactured by IBM
SPSS Statistics (Windows, Version 22.0) is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The software supports a wide range of statistical techniques, including descriptive statistics, advanced modeling, and forecasting.
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Lab products found in correlation
2 protocols using spss statistics windows version 22
1
Mortality and Length of Hospital Stay Analysis
2
Statistical Analysis Methods in Research
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Discrete categorical data were presented as n (%); continuous data were written as either in the form of its mean and standard deviation (SD) or in the form of its median and interquartile range, as per the requirement. The normality of quantitative data was checked by measures of Kolmogorov–Smirnov tests of normality. For normally distributed, t-test was applied for statistical analysis of two groups. For skewed data or ordered categorical data, nonparametric Mann–Whitney U-test was used for statistical analysis of two groups. For categorical data, comparisons were made by Pearson's Chi-square test or Fisher's exact test as appropriate (%). For time-related variables of scores, Wilcoxon signed-rank test was applied; for normally distributed data, ANOVA followed by post hoc multiple comparison test (Dunnet's t-test) was carried out. All the statistical tests were two-sided and were performed at a significance level of α = 0.05. Analysis was conducted using IBM SPSS Statistics Windows, Version 22.0. (IBM Corp: Armonk, NY, United States).
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